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Perceived trust in artificial intelligence technologies: A preliminary study
Human Factors and Ergonomics in Manufacturing ( IF 2.2 ) Pub Date : 2020-03-06 , DOI: 10.1002/hfm.20839
Olga Vl. Bitkina 1 , Heejin Jeong 2 , Byung Cheol Lee 3 , Jangwoon Park 3 , Jaehyun Park 1 , Hyun K. Kim 4
Affiliation  

Artificial intelligence (AI) is becoming increasingly prevalent in all spheres of society. Still, the perception of AI from users and customers remains the main barrier for its widespread adoption. Previous studies showed that the acceptance of new technologies in society depends on perceived characteristics. This study examined users’ perception of trust, the difficulty of the task, and application performance when using an AI‐based technology. These factors help us to elucidate the mechanisms for building trust in AI technology from the users’ perspective. A total of 18 participants took part in the experiment with the Google AutoDraw software as an AI tool. As a result, the difficulty of the task, perceived performance, and success/failure of the task can be regarded as the influential factors for the perceived trust evaluation. The perceived trust of users in new AI products would be increased by improving product performance and the successful implementation of the tasks. The obtained results and insights can serve AI product developers to increase the level of users’ trust and attraction towards their technologies and applications.

中文翻译:

对人工智能技术的感知信任:初步研究

人工智能(AI)在社会的各个领域变得越来越普遍。尽管如此,用户和客户对AI的认知仍然是其广泛采用的主要障碍。先前的研究表明,社会对新技术的接受取决于感知的特征。这项研究检查了用户使用基于AI的技术时的信任感,任务的难度以及应用程序的性能。这些因素有助于我们从用户的角度阐明建立对AI技术的信任的机制。共有18位参与者参加了使用Google AutoDraw软件作为AI工具的实验。结果,任务的难度,感知的性能以及任务的成功/失败可以被视为感知信任评估的影响因素。通过改善产品性能和成功执行任务,可以增强用户对新AI产品的信任感。获得的结果和见解可以为AI产品开发人员提供服务,以提高用户对其技术和应用的信任和吸引力。
更新日期:2020-03-06
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